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Papers
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
NeurIPS 2024
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
ICML 2024
Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
NeurIPS 2023
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality
NeurIPS 2023